RLM Tools is a persistent, sandboxed Python MCP server designed to give AI coding assistants (such as Claude, Cursor, Windsurf, and other MCP clients) a codebase exploration workspace where file data stays server-side. Instead of sending raw source data to the LLM, RLM Tools summarizes code findings and only returns intentional summaries, greatly reducing token/context usage and improving performance on large projects. It exposes functions for opening/sandboxing code sessions, running code, reading/searching files, and exploring file structures, making it highly effective for developer productivity and token efficiency.
Visit RLM Tools's official website for product details and getting started.